Medior Data Scientist Transaction Monitoring

Finance Business Support Medior data scientist Transaction monitoring Medior Utrecht As a Medior data scientist Transaction monitoring at Rabobank ontwikkel en verbeter je detectieregels en analytics om verdachte transacties op te sporen, nieuwe databronnen te benutten en modellen met IT en business te implementeren en continu te verfijnen. Direct solliciteren Neem contact op Medior data scientist Transaction monitoring Role purpose: Develop and improve data-driven models and analytics that strengthen transaction monitoring, detect suspicious behavior, and support effective financial crime risk management. Key responsibilities - Build, evaluate, and maintain statistical and machine learning models for transaction monitoring and alert prioritization. - Analyze large-scale transactional and customer data to identify patterns, typologies, and emerging risks. - Design and test features, thresholds, and scenarios to improve detection quality and reduce false positives. - Translate business and compliance needs into analytical solutions and measurable model performance metrics. - Collaborate with compliance, investigators, engineering, and product stakeholders to implement models in production. - Document methodologies, assumptions, validation results, and monitoring plans to meet governance requirements. Required skills - Experience with data science workflows: data preparation, modeling, validation, and performance monitoring. - Strong programming skills in Python and/or R ; ability to write production-ready code. - Proficiency in SQL and working with large datasets and data pipelines. - Knowledge of supervised/unsupervised learning, anomaly detection, and model evaluation techniques. - Understanding of transaction monitoring, AML/CTF concepts, or financial crime analytics is preferred. - Clear communication skills to explain results to technical and non-technical audiences. You & your role ...